Angel De La Cruz Calleros

Special Guest Blog Post written by Parabola Founder & CEO, Alex Yaseen   Operators are under pressure. They’re expected to move faster, do more with less, and somehow keep everything running smoothly while their systems, tools, and data are a mess. Now, AI is adding a whole new layer. On one hand, it’s exciting. The potential is real. On the other, a lot of teams feel stuck. They know they should be using AI, but they’re not sure where it fits into their day-to-day work. These are the five questions I get asked most often—whether someone’s trying to get started with automation, or trying to figure out how AI actually helps. 1. Can we automate this, or is it too messy? This question usually comes from someone deep in a spreadsheet that was never meant to scale. The short answer is: yes, you can probably automate it. But the longer answer is that you’ll need to rethink the process first. AI can help summarize, transform, and clean data—but it won’t fix a broken workflow. That’s on you. The best teams pair structured automation with lightweight AI to get leverage. Think: using rules and logic to standardize a workflow, and AI…

Most systems don’t fail all at once. They slow down, back up, and quietly break when demand hits from every direction at once. What passed testing last week suddenly struggles under peak volume, overlapping processes, or hours of sustained use. This white paper challenges the idea that one type of performance test is enough. It shows how load, stress, and endurance testing work together to reveal what your system will actually do when it matters. Because confidence doesn’t come from passing a test. It comes from knowing how your system behaves under pressure. What You’ll Learn: Why performance issues slip through even when testing is in place What load testing really proves, and where it falls short How stress testing exposes breaking points before production does Why endurance testing uncovers slow failures most teams miss How to combine all three approaches into a practical, repeatable strategy What performance testing looks like across real ERP, WMS, and supply chain workflows How to move from one-time testing to continuous performance confidence If your systems only pass tests under ideal conditions, you’re still guessing. Download the white paper to see how a layered performance testing strategy helps you find issues early, fix them…